Maximum power point tracking control method for proton exchange membrane fuel cell

Wang, Meng Hui; Huang, Meiling; Jiang, Wei‐Jhe; Liou, Kang-Jian

doi:10.1049/iet-rpg.2015.0205

Cited by 49 publications

(18 citation statements)

References 16 publications

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“…However, in order to obtain the best tradeoff between safety and efficiency, it is necessary to implement a controller that regulates z 2 (t) around an optimal value z 2, opt = 2.05 as discussed in [20]. However, according to (5), the OER depends on the internal variables that are the air pressure in the supply manifold and the partial pressures of oxygen and nitrogen in the cathode channel. Fortunately, the expression of z 2 (t) is related to the unknown sum of the partial pressures of oxygen and nitrogen, χ(t).…”

Section: Control Objectivementioning

confidence: 99%

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Baroud

Gherraf

Benalia

et al. 2018

IET Renewable Power Generation

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In this paper, an algebraic-observer-based output-feedback controller is proposed for a Proton Exchange Membrane Fuel Cell (PEMFC) air-supply subsystem, based on both algebraic differentiation and sliding-mode control approaches. The goal of the design is to regulate the Oxygen Excess Ratio (OER) towards its optimal setpoint value in the PEMFC air-supply subsystem. Hence, an algebraic estimation approach is used to reconstruct the OER based on a robust differentiation method. The proposed observer is known by its finite-time convergence and low computational time compared to other observers presented in the literature. Then, a twisting controller is designed to control the OER by manipulating the compressor motor voltage. The parameters of the twisting controller have been calculated by means of an off-line tuning procedure. The performance of the proposed algebraic-observer-based output-feedback controller is analyzed through simulations for different stack-current changes, for parameter uncertainties and for noise rejection. Results show that the proposed approach properly estimates and regulates the OER in finite-time.IET Research Journals, pp. 1-8 c The Institution of Engineering and Technology 2015 the OER in Section 4. Different simulation scenarios, including performance results, parameter uncertainties, noise in measurement and comparison study, are discussed in Section 5. Finally, the major conclusions are presented in Section 6.

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Section: Control Objectivementioning

confidence: 99%

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Baroud

Gherraf

Benalia

et al. 2018

IET Renewable Power Generation

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“…Reddy et al [29] introduced an ANFIS-based MPPT for the PEMFC powering EV applications. Wang et al [30] simulated an MPPT via slide mode control (SMC) to enhance the generated power from the PEMFC. Table 1 summarizes the previously reported works.…”

Section: Introductionmentioning

confidence: 99%

Performance Improvement of PEM Fuel Cell Using Variable Step-Size Incremental Resistance MPPT Technique

Rezk

Fathy

2020

Sustainability

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The output power of a fuel cell mainly depends on the operating conditions such as cell temperature and membrane water content. The fuel cell (FC) power versus FC current graph has a unique maximum power point (MPP). The location of the MPP is variable, depending on the operating condition. Consequently, a maximum power point tracker (MPPT) is highly required to ensure that the fuel cell operates at an MPP to increase its performance. In this research work, a variable step-size incremental resistance (VSS-INR) tracking method was suggested to track the MPP of the proton exchange membrane (PEMFC). Most of MPPT methods used with PEMFC require at least three sensors: temperature sensor, water content sensor, and voltage sensor. However, the proposed VSS-INR needs only two sensors: voltage and current sensors. The step size of the VSS-INR is directly proportional to the error signal. Therefore, the step size will become small as the error becomes very small nearby the maximum power point. Accordingly, the accuracy of the VSS-INR tracking method is high in a steady state. To test and validate the VSS-INR, nine different scenarios of operating conditions, including normal operation, only temperature variation, only variation of water content in the membrane, and both variations of temperature and water content simultaneously, were used. The obtained results were compared with previously proposed methods, including particle swarm optimization (PSO), perturb and observe (P&O), and sliding mode (SM), under different operating conditions. The results of the comparison confirmed the superiority of VSS-INR compared with other methods in terms of the tracking efficiency and steady-state fluctuations.

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“…Wang et al. proposed an MPPT based on extension sliding mode controller to enhance of the fuel cells system efficiency based on extension theory used previously to stabilize the output of an fuel cell at the point of maximum power point . Experimental results obtained using a 200 W PEM fuel cell experimental platform show that the proposed MPPT tracking speed is 0.95 s and the efficiency is 94.5% which improve the fuel cell system performances compared to conventional MPPT methods.…”

Section: Introductionmentioning

confidence: 99%

A Novel Single Sensor Variable Step Size Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell Power System

Harrag

Bahri

2019

Fuel Cells

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This paper proposes a novel single sensor variable step size maximum power point tracking (MPPT) method for proton exchange membrane (PEM) fuel cell. This paper is a first, if modest, attempt to develop a single sensor MPPT for fuel cell systems. The proposed MPPT algorithm uses only one sensor to track the maximum power of PEM fuel system composed of 7 kW proton exchange membrane fuel cell (PEMFC) powering 50 Ω resistive load via a DC–DC boost converter driven using the proposed MPPT. The performances of the proposed controller have been evaluated using the implemented PEM fuel cell power system Matlab/Simulink model using two test scenarios considering temperature and hydrogen pressure variation. Simulation results show that the proposed controller can effectively track the maximum power point using only one sensor which reduces the cost as well as the complexity of the PEM fuel cell power system. Comparative results with the two sensors MPPT show that the two sensors MPPT outperforms the single sensor MPPT regarding the dynamic performances. However, the proposed single sensor MPPT performs better considering the static performances. In addition, the proposed controller reduces drastically the current ripple increasing by the way the fuel cell efficiency and lifetime by reducing the frequent trip due to over‐current and even harmonics.

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Maximum power point tracking control method for proton exchange membrane fuel cell

Cited by 49 publications

References 16 publications

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Algebraic observer‐based output‐feedback controller design for a PEM fuel cell air‐supply subsystem

Performance Improvement of PEM Fuel Cell Using Variable Step-Size Incremental Resistance MPPT Technique

A Novel Single Sensor Variable Step Size Maximum Power Point Tracking for Proton Exchange Membrane Fuel Cell Power System

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